Parameter Identification of Composite Materials Based on Spectral Model by Using Model Updating Method. (17th April 2018)

• Record Type: Journal Article
• Authors: Sun, Rui; Perera, Ricardo; Sevillano, Enrique; Gu, Jintao
• Other Names: Zappalorto Michele Academic Editor.
• Is Part Of: International journal of polymer science. Volume 2018(2018)
• Publication Date: 2018-04-17
• Subjects: Polymers -- Periodicals; Polymers; Periodicals; 547.7
• DOI: 10.1155/2018/7310846
• Languages: English
• ISSNs: 1687-9422

Abstract

Abstract : A model updating approach based on a spectral element model and solved with a particle swarm optimization (PSO) method is proposed to identify the vibration-damping properties of composite materials. In comparison with conventional finite element model updating, a composite beam is modeled in a unified way by using a spectral approach whose computational cost is significantly reduced due to its simplicity. In this way, the dynamic response can be captured accurately by using a very limited number of elements. To identify the material properties, experimental tests are carried out to get the initial parameters that are introduced to initialize the spectral model; then, a model updating process solved with a PSO algorithm is implemented to obtain the real material parameters. It has been demonstrated that the proposed spectral model is a potential tool for model updating and parameter identification.